MYTONER Compatible Toner Cartridges Replacement for Brother TN830 XL/V/R TN-830 TN830XL for DCP-L2640DW HL-L2460DW HL-L2405W HL-L2400D L2465DW HL-L2480DW MFC-L2820DW XL MFC-L2820DW Printer, 4 Black

MYTONER Compatible Toner Cartridges Replacement for Brother TN830 XL/V/R TN-830 TN830XL for DCP-L2640DW HL-L2460DW HL-L2405W HL-L2400D L2465DW HL-L2480DW MFC-L2820DW XL MFC-L2820DW Printer, 4 Black

ASIN: B0D2R6YBP5
Analysis Date: Nov 5, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.27
Original Rating
3.40
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with specific details about printer models and installation issues, there's a suspicious rating distribution with 12 out of 16 reviews being 5-star (75%), including multiple overly enthusiastic reviews that read like marketing copy. Several reviews use identical phrasing about being 'high yield' and 'cost-effective,' suggesting coordinated messaging. The presence of multiple reviews mentioning 'HP' compatibility for what appears to be aftermarket/third-party cartridges raises authenticity questions. However, the mix includes some balanced 4-star reviews and genuine-sounding negative feedback, preventing a higher fake percentage assessment.

Review Statistics

3,192
Total Reviews on Amazon
-0.87
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.40 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.27 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

Share This Analysis

Learn More About Fake Reviews

Analyze new product